Vestibular schwannomas: Accuracy of tumor volume estimated by ice cream cone formula using thin-sliced MR images

Hsing-Hao Ho, Ya-Hui Li, Jih-Chin Lee, Chih-Wei Wang, Yi-Lin Yu, Dueng-Yuan Hueng, Hsin-I Ma, Hsian-He Hsu and Chun-Jung Juan

PLOS ONE, 2018, vol. 13, issue 2, 1-16

Abstract: Purpose: We estimated the volume of vestibular schwannomas by an ice cream cone formula using thin-sliced magnetic resonance images (MRI) and compared the estimation accuracy among different estimating formulas and between different models. Methods: The study was approved by a local institutional review board. A total of 100 patients with vestibular schwannomas examined by MRI between January 2011 and November 2015 were enrolled retrospectively. Informed consent was waived. Volumes of vestibular schwannomas were estimated by cuboidal, ellipsoidal, and spherical formulas based on a one-component model, and cuboidal, ellipsoidal, Linskey’s, and ice cream cone formulas based on a two-component model. The estimated volumes were compared to the volumes measured by planimetry. Intraobserver reproducibility and interobserver agreement was tested. Estimation error, including absolute percentage error (APE) and percentage error (PE), was calculated. Statistical analysis included intraclass correlation coefficient (ICC), linear regression analysis, one-way analysis of variance, and paired t-tests with P

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0192411

DOI: 10.1371/journal.pone.0192411

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